Libor is an AI engineer and researcher with a comprehensive background in artificial intelligence, machine learning, and data science. His technical expertise spans across multiple domains, including large language models, agents, prompt engineering, model training, fine-tuning, or retrieval augmented generation (RAG), utilizing various frameworks and tools such as PyTorch, Langchain, LangGraph, and vector databases. He has demonstrated practical experience working with major AI platforms and technologies, including OpenAI, Google, and Anthropic, while maintaining proficiency in both local and deployed LLM implementations.

Libor is interested in how AI can be applied for business, science, and for good, such as for healthcare, programming assistance through AI copilots, scientific research automation, and practical applications in daily life. He has contributed to several notable organizations, including Stronghold as an AI researcher and engineer, Machine Learning Street Talk as a researcher of AI researchers, and has collaborated with the Active Inference Institute and Qualia Research Institute on various AI and cognitive science research projects.

Libor's intellectual pursuits extend beyond practical applications into fundamental questions about intelligence, consciousness, and the universe. He actively explores the theoretical foundations of artificial intelligence, the relationship between biological and artificial intelligence, physics, mathematics, and the intersection of various scientific fields. His educational background includes studies at CTU and ongoing learning through Stanford Online.

As also a technical writer, Libor maintains an active presence online where he shares insights about AI research, industry developments, and geopolitical implications of artificial intelligence. His work reflects a holistic approach to understanding and advancing AI technology, combining technical expertise with broader considerations about its societal impact.